In this article, a new machine learning aided GNSS-R algal bloom detection method with the auxiliary of meteorological data is established.
In this article, we utilized 2913 samples, and combined. CYGNSS data with meteorological factors more than wind speed to fulfill algal bloom detection via ...
Detecting Algal Bloom Using Cygnss and ERA-5 Data. July 2023. DOI:10.1109 ... A three-step machine learning approach for algal bloom detection using stationary ...
DETECTING ALGAL BLOOM USING CYGNSS AND ERA-5 DATA · 1: AN IMPROVED INLAND WATER DETECTOR USING STANDARD L1 DATA: APPLICATION TO CYGNSS · 2: DETECTING ALGAL BLOOM ...
Jun 15, 2023 · This work employs the Cyclone GNSS (CYGNSS) data and the fifth generation European Reanalysis (ERA-5) data with the application of the random ...
In this paper, wind speed data from the ERA-5 Land dataset is used to assist in monitoring the algal bloom outbreak process. 3. Algal Bloom Level Monitoring ...
In this paper, we propose a new method to recover lake-surface NDVI on cloudy days, utilizing GNSS-R observables and auxiliary meteorological data.
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Oct 24, 2024 · The results indicate that classification and early warning of algal blooms based on CYGNSS data produced reliable results. The ability of CYGNSS ...
Improving Spaceborne GNSS-R Algal Bloom Detection with Meteorological Data. ... This work employs the Cyclone GNSS (CYGNSS) data and the fifth generation ...
The increasingly serious water pollution in numerous lakes has resulted in the more frequent occurrences of algal bloom disaster in recent decades.